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146 Publications


2021 | Journal Article | LibreCat-ID: 21004
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “AutoML for Multi-Label Classification: Overview and Empirical Evaluation.” IEEE Transactions on Pattern Analysis and Machine Intelligence, 2021, 1–1. https://doi.org/10.1109/tpami.2021.3051276.
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2021 | Journal Article | LibreCat-ID: 21092
Mohr, Felix, Marcel Dominik Wever, Alexander Tornede, and Eyke Hüllermeier. “Predicting Machine Learning Pipeline Runtimes in the Context of Automated Machine Learning.” IEEE Transactions on Pattern Analysis and Machine Intelligence, n.d.
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2021 | Conference Paper | LibreCat-ID: 21198
Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Algorithm Selection as Superset Learning: Constructing Algorithm Selectors from Imprecise Performance Data,” 2021.
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2021 | Journal Article | LibreCat-ID: 21597
Holzinger, Philipp, and Eric Bodden. “A Systematic Hardening of Java’s Information Hiding.” International Symposium on Advanced Security on Software and Systems (ASSS), 2021.
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2021 | Journal Article | LibreCat-ID: 21598
Schubert, Philipp, Ben Hermann, and Eric Bodden. “Lossless, Persisted Summarization of Static Callgraph, Points-To and Data-Flow Analysis.” European Conference on Object-Oriented Programming (ECOOP), 2021.
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2021 | Journal Article | LibreCat-ID: 21599
Bonifacio, Rodrigo, Stefan Krüger, Krishna Narasimhan, Eric Bodden, and Mira Mezini. “Dealing with Variability in API Misuse Specification.” European Conference on Object-Oriented Programming (ECOOP), 2021.
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2021 | Journal Article | LibreCat-ID: 21595
Stockmann, Lars, Sven Laux, and Eric Bodden. “Using Architectural Runtime Verification for Offline Data Analysis.” Journal of Automotive Software Engineering, 2021. https://doi.org/10.2991/jase.d.210205.001.
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2021 | Dissertation | LibreCat-ID: 21596
Fischer, Andreas. Computing on Encrypted Data Using Trusted Execution Environments. Universität Paderborn, 2021.
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2020 | Dissertation | LibreCat-ID: 20513
Krüger, Stefan. CogniCrypt -- The Secure Integration of Cryptographic Software. Universitaetsbibliothek Paderborn, 2020.
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2020 | Conference Paper | LibreCat-ID: 17407
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Extreme Algorithm Selection with Dyadic Feature Representation.” In Discovery Science, 2020.
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2020 | Conference Paper | LibreCat-ID: 20518
Koch, Thorsten, Stefan Dziwok, Jörg Holtmann, and Eric Bodden. “Scenario-Based Specification of Security Protocols and Transformation to Security Model Checkers.” In ACM/IEEE 23rd International Conference on Model Driven Engineering Languages and Systems (MODELS ’20). ACM, 2020. https://doi.org/10.1145/3365438.3410946.
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2020 | Conference Paper | LibreCat-ID: 17408
Hanselle, Jonas Manuel, Alexander Tornede, Marcel Dominik Wever, and Eyke Hüllermeier. “Hybrid Ranking and Regression for Algorithm Selection.” In KI 2020: Advances in Artificial Intelligence, 2020.
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2020 | Preprint | LibreCat-ID: 17605
Heid, Stefan Helmut, Marcel Dominik Wever, and Eyke Hüllermeier. “Reliable Part-of-Speech Tagging of Historical Corpora through Set-Valued Prediction.” Journal of Data Mining and Digital Humanities. episciences, n.d.
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2020 | Journal Article | LibreCat-ID: 20507
Geismann, Johannes, and Eric Bodden. “A Systematic Literature Review of Model-Driven Security Engineering for Cyber–Physical Systems.” Journal of Systems and Software 169 (2020): 110697. https://doi.org/10.1016/j.jss.2020.110697.
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2020 | Dissertation | LibreCat-ID: 20521
Gerking, Christopher. Model-Driven Information Flow Security Engineering for Cyber-Physical Systems. Paderborn University, 2020. https://doi.org/10.17619/UNIPB/1-1033.
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2020 | Conference Paper | LibreCat-ID: 15629
Wever, Marcel Dominik, Alexander Tornede, Felix Mohr, and Eyke Hüllermeier. “LiBRe: Label-Wise Selection of Base Learners in Binary Relevance for Multi-Label Classification.” Springer, n.d.
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2020 | Conference Paper | LibreCat-ID: 20306
Tornede, Alexander, Marcel Dominik Wever, and Eyke Hüllermeier. “Towards Meta-Algorithm Selection.” In Workshop MetaLearn 2020 @ NeurIPS 2020, 2020.
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2020 | Conference Paper | LibreCat-ID: 20510
Benz, Manuel, Erik Krogh Kristensen, Linghui Luo, Nataniel P. Borges Jr., Eric Bodden, and Andreas Zeller. “Heaps’n Leaks: How Heap Snapshots Improve Android Taint Analysis.” In International Conference for Software Engineering (ICSE), 2020.
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2020 | Journal Article | LibreCat-ID: 20508
Nguyen Quang Do, Lisa, and Eric Bodden. “Explaining Static Analysis with Rule Graphs.” IEEE Transactions on Software Engineering, 2020.
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2020 | Book Chapter | LibreCat-ID: 20515
Gräßler, Iris, Eric Bodden, Jens Pottebaum, Johannes Geismann, and Daniel Roesmann. “Security-Oriented Fault-Tolerance in Systems Engineering: A Conceptual Threat Modelling Approach for Cyber-Physical Production Systems.” In Advances in Intelligent Systems and Computing. Cham, 2020. https://doi.org/10.1007/978-3-030-50936-1_121.
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